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SDMdata: A Web-Based Software Tool for Collecting Species Occurrence Records

It is important to easily and efficiently obtain high quality species distribution data for predicting the potential distribution of species using species distribution models (SDMs). There is a need for a powerful software tool to automatically or semi-automatically assist in identifying and correct...

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Detalles Bibliográficos
Autores principales: Kong, Xiaoquan, Huang, Minyi, Duan, Renyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4452258/
https://www.ncbi.nlm.nih.gov/pubmed/26030926
http://dx.doi.org/10.1371/journal.pone.0128295
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author Kong, Xiaoquan
Huang, Minyi
Duan, Renyan
author_facet Kong, Xiaoquan
Huang, Minyi
Duan, Renyan
author_sort Kong, Xiaoquan
collection PubMed
description It is important to easily and efficiently obtain high quality species distribution data for predicting the potential distribution of species using species distribution models (SDMs). There is a need for a powerful software tool to automatically or semi-automatically assist in identifying and correcting errors. Here, we use Python to develop a web-based software tool (SDMdata) to easily collect occurrence data from the Global Biodiversity Information Facility (GBIF) and check species names and the accuracy of coordinates (latitude and longitude). It is an open source software (GNU Affero General Public License/AGPL licensed) allowing anyone to access and manipulate the source code. SDMdata is available online free of charge from <http://www.sdmserialsoftware.org/sdmdata/>.
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spelling pubmed-44522582015-06-09 SDMdata: A Web-Based Software Tool for Collecting Species Occurrence Records Kong, Xiaoquan Huang, Minyi Duan, Renyan PLoS One Research Article It is important to easily and efficiently obtain high quality species distribution data for predicting the potential distribution of species using species distribution models (SDMs). There is a need for a powerful software tool to automatically or semi-automatically assist in identifying and correcting errors. Here, we use Python to develop a web-based software tool (SDMdata) to easily collect occurrence data from the Global Biodiversity Information Facility (GBIF) and check species names and the accuracy of coordinates (latitude and longitude). It is an open source software (GNU Affero General Public License/AGPL licensed) allowing anyone to access and manipulate the source code. SDMdata is available online free of charge from <http://www.sdmserialsoftware.org/sdmdata/>. Public Library of Science 2015-06-01 /pmc/articles/PMC4452258/ /pubmed/26030926 http://dx.doi.org/10.1371/journal.pone.0128295 Text en © 2015 Kong et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Kong, Xiaoquan
Huang, Minyi
Duan, Renyan
SDMdata: A Web-Based Software Tool for Collecting Species Occurrence Records
title SDMdata: A Web-Based Software Tool for Collecting Species Occurrence Records
title_full SDMdata: A Web-Based Software Tool for Collecting Species Occurrence Records
title_fullStr SDMdata: A Web-Based Software Tool for Collecting Species Occurrence Records
title_full_unstemmed SDMdata: A Web-Based Software Tool for Collecting Species Occurrence Records
title_short SDMdata: A Web-Based Software Tool for Collecting Species Occurrence Records
title_sort sdmdata: a web-based software tool for collecting species occurrence records
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4452258/
https://www.ncbi.nlm.nih.gov/pubmed/26030926
http://dx.doi.org/10.1371/journal.pone.0128295
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